Computing at LLNL
Browse Projects

At a Glance

Discovery science and technical innovation

Computing at LLNL advances scientific discovery through foundational and innovative research; mission-driven data science; complex modeling, simulation, and analysis on powerful supercomputers; and creative technologies and software solutions. Everything at Livermore is Team Science. Thus, Computing is at the heart of many of LLNL’s most compelling national security and scientific efforts:

  • Operating one of the world’s largest HPC data centers
  • Deploying research and supercomputers to mitigate COVID-19
  • Preparing for one of the nation’s first exascale-class computers
  • Providing essential IT expertise across LLNL
  • Running one of the world’s largest control systems at NIF
  • Advancing cancer research and treatment
  • Designing AI and machine learning algorithms for science-based pattern discovery

Focus Areas

Computational Math

Powering scientific codes with advanced algebraic methods, algorithms, solvers, and discretizations

Computational Science

Supporting the Lab’s mission-driven programs with scientific modeling and simulation

Cyber Security

Meeting the nation’s top priorities to enhance security in a highly interconnected world

Data Science

Advancing AI, data analytics, machine learning, predictive modeling, statistics, UQ, and more

Emerging Architectures

Innovating in new directions for next-generation hardware designs and platform integrations

HPC Systems & Software

Providing environments, tools, and expertise for vital national security research and development

Information Technology

Meeting the Lab’s computer technology needs every day with enterprise applications and services

Software Engineering

Applying best practices to maximize the efficiency of software development and deployment


concentric circles where the top half is yellow and orange and the bottom half is blue, set on a background of dark green at bottom and light green at top

Source: LLNL Computing

Matrix unloaded: GPU-boosted solvers for diffusion physics

Developed by LLNL and Portland State University researchers, innovative matrix-free solvers offer performance gains for complex multiphysics simulations.

Collaborations | Computational Math | Computational Science | Discrete Mathematics | Hydrodynamics | PDE Methods | Solvers

A flow chart showing the classification of the types of errors in scientific computing.

Source: LLNL Computing

Symposium paper formally verifies whether linear systems will converge

A new method defines a formal specification for convergence, which can be used to derive a set of machine-checkable conditions to guarantee a convergent solution to a differential equation.

Computational Math | ODE Methods

Ruby supercomputer overlaid with a network pattern and mutated cell

Source: LLNL News

LLNL and BridgeBio announce trials for supercomputing-discovered cancer drug

In a milestone for supercomputing-aided drug design, LLNL and BridgeBio Oncology Therapeutics today announced clinical trials have begun for a first-in-class medication that targets specific genetic mutations implicated in many types of cancer.

Biology/Biomedicine | CogSim/AI/ML Hardware | Collaborations | Computational Science | Data Science | Emerging Architectures | HPC Systems and Software | Scientific ML


Featured Employee
Patrick Craig

Patrick Craig

When Patrick Craig joined LLNL in April 2021, he welcomed the opportunity to engage with employee resource groups (ERGs) he identifies with and reconnect with his own identities.

Featured Project
unify fs logo


This open-source file system framework accelerates hierarchical HPC I/O operations with effective, efficient use of node-local storage.

Featured Event
two people working at a table with a tutorial playing on a laptop screen

HPC Software Tutorials

Learn how to use a modern, open-source HPC software stack! Throughout August, join our free tutorials on how to install and use several projects on AWS EC2 instances. No previous experience is necessary, and everyone is welcome.


People standing in front of LLNL block letters

We offer a promising future of discovery science and technical innovation

From software developers and applied math researchers to hardware architects and networking experts, computing at LLNL requires a top-flight workforce with a broad skill set. Check out our internship pages or visit LLNL's careers site to see how you can be a part of the future.